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Digital Breast tomosynthesis is a recent clinical application of sparse data tomographic reconstruction. Quality control procedures are crucial for the evaluation of system performance and they aim to anticipate the outcome of the clinical validation. Challenges in a general definition of evaluation methods resides in the differences between vendors, in acquisition as well as in the choice of reconstruction methods. The main approaches for image evaluation endorsed by the medical physics community are illustrated.
This presentation is part of Minisymposium “MS33 - Advances in reconstruction algorithms for computed tomography (4 parts)”
organized by: Gunay Dogan (Theiss Research, NIST) , Harbir Antil (George Mason University) , Elena Loli Piccolomini (Dept. Computer Science and Engineering, University of Bologna) , Samuli Siltanen (University of Helsinki) .